Abstract 4143692: Racial Disparities in Age-adjusted Sudden Cardiac Death Rates in the United States: Insights from CDC-WONDER Database, 1999-2020

Hypothesis: Small prospective and dataset-based studies predicted the rates of sudden cardiac death (SCD) are higher in the African American (AA) population as compared to White Americans (WA). However, there is a lack of long-term data over two decades looking for racial differences in SCD. Aim: Our study aims to analyze and quantify the racial differences in age-adjusted mortality rates(AAMR) related to SCDs between AA and WA to further explore potential contributing factors, such as socioeconomic status, sex, and varied comorbidity burdens, to these differences. Methods: We analyzed the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) database, containing death certificate records for various causes of mortality in the US from 1999 to 2020. We searched the CDC WONDER database for patients, 18-45 years old whose cause of death was SCD corresponding to ICD-10 code; I46.1. We searched for AAMR and stratified patients based on race and gender on a total population of 48668 (41975 WA; 6693 AA). Temporal trends were analyzed by fitting log-linear regression models using the Joinpoint Regression Program. Results: We calculated annual percent change (APC) with 95% confidence intervals (CIs) in AAMR for the line segments linking joint points. The AAMR for SCDs in AA males ranged from 2.1% in 2000 to 0.9% in 2020 with an APC of 0.68 between 1999 and 2009, -26.72 between 2009 and 2012, and 4.34 between 2012 and 2020 suggest that the rate peaked between 2008 and 2010, followed by a significant decline in the following years. WA males had consistently lower rates compared to AA males. The AAMR for WA males peaked at 1.5% in 2000 followed by a stepwise decline until it reached a rate less than 0.9% in 2020, with APCs -1.32 between 1999 and 2009, -19.58 between 2009 and 2012. [Figure A]. AA females had APCs of 2.01, -31.88, and 1.73 while WA females had APCs of -2.32, -21.38, and 0.43 between 1999 and 2009, 2009 and 2012, and 2012 and 2020, respectively [Figure B]. Rates in AA females had a similar progression to that in AA males [Figure C]. Conclusion: Racial disparities in SCDs related AAMR in the US suggest the role of a complex interplay between healthcare delivery, underlying pathological processes, and race. AA demonstrated higher age-adjusted SCD rates than WA. These findings should be used to guide policymaking and address areas of unmet need in providing racially equitable healthcare for all patients.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4143692
Primary Topic
Cardiovascular Health and Risk Factors
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article
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article

Abstract 4143692: Racial Disparities in Age-adjusted Sudden Cardiac Death Rates in the United States: Insights from CDC-WONDER Database, 1999-2020

Parul, Shraddha Bhattarai, Akriti Agrawal, Hitesh Bhatia et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4143692: Racial Disparities in Age-adjusted Sudden Cardiac Death Rates in the United States: Insights from CDC-WONDER Database, 1999-2020

Parul, Shraddha Bhattarai, Akriti Agrawal, Hitesh Bhatia, Saurabh Sharma, Asna Aafreen, M. A. Khan, Adishwar Rao, Siddharth Agrawal
article en

Abstract

Hypothesis: Small prospective and dataset-based studies predicted the rates of sudden cardiac death (SCD) are higher in the African American (AA) population as compared to White Americans (WA). However, there is a lack of long-term data over two decades looking for racial differences in SCD. Aim: Our study aims to analyze and quantify the racial differences in age-adjusted mortality rates(AAMR) related to SCDs between AA and WA to further explore potential contributing factors, such as socioeconomic status, sex, and varied comorbidity burdens, to these differences. Methods: We analyzed the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) database, containing death certificate records for various causes of mortality in the US from 1999 to 2020. We searched the CDC WONDER database for patients, 18-45 years old whose cause of death was SCD corresponding to ICD-10 code; I46.1. We searched for AAMR and stratified patients based on race and gender on a total population of 48668 (41975 WA; 6693 AA). Temporal trends were analyzed by fitting log-linear regression models using the Joinpoint Regression Program. Results: We calculated annual percent change (APC) with 95% confidence intervals (CIs) in AAMR for the line segments linking joint points. The AAMR for SCDs in AA males ranged from 2.1% in 2000 to 0.9% in 2020 with an APC of 0.68 between 1999 and 2009, -26.72 between 2009 and 2012, and 4.34 between 2012 and 2020 suggest that the rate peaked between 2008 and 2010, followed by a significant decline in the following years. WA males had consistently lower rates compared to AA males. The AAMR for WA males peaked at 1.5% in 2000 followed by a stepwise decline until it reached a rate less than 0.9% in 2020, with APCs -1.32 between 1999 and 2009, -19.58 between 2009 and 2012. [Figure A]. AA females had APCs of 2.01, -31.88, and 1.73 while WA females had APCs of -2.32, -21.38, and 0.43 between 1999 and 2009, 2009 and 2012, and 2012 and 2020, respectively [Figure B]. Rates in AA females had a similar progression to that in AA males [Figure C]. Conclusion: Racial disparities in SCDs related AAMR in the US suggest the role of a complex interplay between healthcare delivery, underlying pathological processes, and race. AA demonstrated higher age-adjusted SCD rates than WA. These findings should be used to guide policymaking and address areas of unmet need in providing racially equitable healthcare for all patients.

CirculationVol. 150(Suppl_1)
SUNY Upstate Medical University (US), Sparrow Hospital (US), Guthrie Robert Packer Hospital (US), Michigan United (US), Michigan State University (US)
Good health and well-being
Openalex Percentile: Top 62%
Cardiovascular Health and Risk Factors
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